Data management policies


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Presentation given by Sarah Jones on 3rd March at the DCC roadshow in Sheffield.

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  • Will talk about data policy landscape (institutional / funder requirements – specifically regarding DMPs) Pre-course evaluation suggested you want examples and case studies - how are institutions addressing/embedding RDM and engaging researchers
  • There are various drivers: - OECD declaration – data are public good. Paid for out of public money so should be public - Funders have various data policies, which I’ll go into in more detail - RCUK has a code of good research conduct, which states data should be managed and kept accessible for 10+ years (institutions typically have a local version of this)
  • Sheffield’s Good Research Practice Guidelines states (amongst other things) Data important too not just publications Keep data & publications for periods set out by sponsors (10-20 years)
  • The DCC has looked at funders’ policies for data curation and compared these in a table, which is available online They all have policies on publications and many have data policies. The stipulations vary but there are often: Time limits for making publications and data accessible Requirements to submit data management and sharing plans at the application stage Expectations on data sharing / access and preservation None really has robust monitoring processes and support provided is patchy – role falling to institutions.
  • Click any of the funder links in the table and you’ll get: - Links to their policies - Overview explaining what the stipulations are
  • One of the main requirements from UK Research Funders is the submission of data management and sharing plans at the grant proposal stage. They typically want to know five things (see above). Taking on significance in other countries too - National Science Foundation in US recently brought in a DMP requirement.
  • Main differences in UK requirements are that: Two funders ask specific questions – most want a statement covering broad themes as applicable to your research BBSRC, MRC and Wellcome Trust place far greater emphasis on data sharing NERC produces overarching data management plans at a thematic programme level.
  • Funders tend to be moving towards open, prose statements. New ESRC requirement comes into force in Spring 2011 and AHRC has been consulting on their Technical Appendix with a plan to review. NERC policy addresses hot topics (linking publications with data; data selection/value; resourcing). Likely to lead way in UK developments? RCUK planning joint principles statement on expectations and support to data mgmt services – Juan Biccaregui will speak about this at RDMF 6 in May. Lots going on in US due to NIH/NSF requirements – working with them on the DMP Online tool
  • Few slides now to point out some examples of recent activity Not all funders offer data centres so work can fall to institution. Oxford and Edinburgh has responded by creating policies.
  • Lots of people have been looking at examples / guidance to help write data management plans. ICPSR (US social science organisation like UKDA) have collated a list of examples JISC MRD projects e.g. ERIM (engineering) and DMTPsych (Psychology) have come up with guidelines for their areas Lots of excellent new ones springing up all over the place – see UNC. Concise definitions / intro with quick examples of the kind of thing you may include
  • Not just guidance though – support is needed to help researchers write DMPs ARL in US has written a guide to help librarian offer such support. RDMF 6 covering data management planning specifically and one of the talk will come from a computing officer at Glasgow about going from plan to action
  • Some of the work we’ve done at Glasgow: Collated existing guidance and details of support & services to raise awareness Observations showed researchers didn’t know where to turn, so ended each FAQ on ‘Who can help’ and invited service staff to speak at training / workshops Offered case studies on training to show how one project took basic principles and applied to their context Videoing researchers & experts sharing their lessons You’re welcome to take any of this content and reuse it for non-commercial, educational purposes
  • There’s lots more coming out of JISC MRD Programme in this area, so keep tabs on outputs over coming months.
  • Data management policies

    1. 1. Data management policies: an introduction Sarah Jones DCC, University of Glasgow [email_address]
    2. 2. Outline <ul><li>The data policy landscape </li></ul><ul><li>Example responses </li></ul>
    3. 3. Policy drivers Code of good research conduct data should be preserved and accessible for 10 years + E Funders’ data policies… Your HEI’s Code 1/c6/07/20/99/GRPcollated.pdf declaration data are a public good and should be openly available
    4. 4. Good Research Practice <ul><li>3.7.3 RETAINING RESEARCH EVIDENCE </li></ul><ul><li>Publication of research results does not negate the need to retain original </li></ul><ul><li>records of research evidence generated during the lifetime of the </li></ul><ul><li>research project. </li></ul><ul><li>All supporting evidence for research undertaken, including publications, </li></ul><ul><li>must be retained securely in a durable form and for a period of time to be </li></ul><ul><li>determined by the conditions set by the particular research sponsor. </li></ul><ul><li>It is recommended good practice that evidence for research based on </li></ul><ul><li>clinical samples or relating to public health be retained for twenty years. </li></ul><ul><li>Extract from: </li></ul>
    5. 5. Funders’ data policies
    6. 6. Explanation of each funder’s policy policy-and-legal/funders-data-policies Links to data & publications policies Abstract of main stipulations
    7. 7. Data Management and Sharing Plans <ul><ul><li>Funders typically want a short statement covering: </li></ul></ul><ul><ul><li>What data will be created (format, types) and how? </li></ul></ul><ul><ul><li>How will the data be documented and described? </li></ul></ul><ul><ul><li>How will you manage ethics and Intellectual Property? </li></ul></ul><ul><ul><li>What are the plans for data sharing and access? </li></ul></ul><ul><ul><li>What is the strategy for long-term preservation? </li></ul></ul><ul><ul><li>Guidance: </li></ul></ul><ul><ul><li>DMP online tool: </li></ul></ul>
    8. 8. Differences in data plan requirements <ul><li>Set questions (Je-S section) vs open statement </li></ul><ul><ul><li>AHRC (& ESRC until Spring 2011) ask set questions, other ask for statement </li></ul></ul><ul><li>Biomedical emphasis on data sharing </li></ul><ul><ul><ul><li>State foreseeable use, methods/place of sharing, timescales for release, limits </li></ul></ul></ul><ul><li>NERC data centres write plans for thematic programmes </li></ul><ul><ul><li> </li></ul></ul><ul><ul><li> </li></ul></ul><ul><li>F or summary by funder: </li></ul>
    9. 9. Data plan trends and changes <ul><li>Move towards open statements </li></ul><ul><li>New NERC policy states: </li></ul><ul><ul><ul><li>All research publications must include a statement on how the supporting data and any other relevant research materials can be accessed. </li></ul></ul></ul><ul><li>and that DMP must identify: </li></ul><ul><ul><li>which datasets are of long-term value, based on NERC's Data Value Checklist </li></ul></ul><ul><ul><li>all resources needed to implement the Data Management Plan </li></ul></ul><ul><li>RCUK Principles for Data Management (due Summer 2011) </li></ul><ul><li>Join up with initiatives overseas – NSF DataOne project, U3C etc </li></ul>
    10. 10. Institutional policies <ul><li>Developing a policy and strategy </li></ul><ul><li>for Research Data Storage (RDS) </li></ul><ul><li>& Research Data Management (RDM) </li></ul> <ul><ul><li>Statement of Commitment to </li></ul></ul><ul><ul><li>Research Data Management </li></ul></ul><ul><li>Developed through collaboration with University of Melbourne. See policy event at: </li></ul><ul><li> </li></ul>
    11. 11. Data Management Plan guidance MRD projects : Draft IdMRC Projects DMP DMTPsych Psychology specific DMP guidance doc Example DMPs
    12. 12. Support needed to write DMPs <ul><li>Researchers need to discuss </li></ul><ul><li>ideas and define approach </li></ul><ul><li>With relevant support </li></ul><ul><li>Role for libraries?  </li></ul><ul><li>Dave Bevan’s talk at RDMF 6 </li></ul><ul><li>in May: Winning the grant and </li></ul><ul><li>delivering the plan </li></ul><ul><li> </li></ul>
    13. 13. a JISC MRD project at University of Cambridge and Glasgow
    14. 14. Lots coming out of JISC Managing Research Data programme s <ul><li>International Workshop </li></ul><ul><li>28 March, 2011 - 29 March, 2011 </li></ul><ul><li>Aston Business School, Birmingham </li></ul>
    15. 15. Thanks Any questions? <ul><li>Sarah Jones - [email_address] </li></ul><ul><li> </li></ul><ul><li> </li></ul><ul><li> </li></ul>